{"id":"W6901438814","doi":"10.6068/dp14ba8d18a4715","title":"Most Recent Data (2003). Statistics Canada. CANSIM: Society and Community - Rural Canada | Country: Canada | Table: Canadian Community Health Survey (CCHS 2.1) urban-rural profile, by sex | Variable: Injuries in past 12 months, not stated, Rural area outside census metropolitan area and census agglomeration, Both sexes | Units: , 2003. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-189.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Official statistics; Population; Rural area; Socioeconomic status; American Community Survey; Population statistics; Demographic statistics; Social statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002890728,0.002468157,0.002817165,0.007888602,0.004044989,0.004763935,0.005570482,0.001538978,0.1410135],"category_scores_gemma":[0.02345745,0.001888212,0.002153244,0.04712558,0.0006946507,0.002600657,0.00244495,0.003206142,0.0745021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06748974,"about_ca_system_score_gemma":0.1725169,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9957246,"about_ca_topic_score_gemma":0.9933694,"domain_scores_codex":[0.9945852,0.000376902,0.0006426225,0.0005914603,0.002680473,0.001123319],"domain_scores_gemma":[0.9506739,0.001853879,0.001109332,0.001235103,0.04283567,0.002292046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001809771,0.00000660916,0.0006658729,0.0001982656,0.00001145463,0.000005252224,0.00001873915,0.00006992174,0.000006420594,0.0002503376,0.9970209,0.00172812],"study_design_scores_gemma":[0.0001585857,0.00001365266,0.02576962,0.0009889296,0.00006471068,0.00002679929,0.0005209917,0.0003726608,0.0001324429,0.0006704214,0.9711901,0.00009098061],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004836572,0.00006336659,0.00002815393,0.0001571425,0.00003457597,0.00002418553,0.9980096,0.00006648886,0.001567993],"genre_scores_gemma":[0.001095265,0.0005079851,0.0007505615,0.0003290519,0.00002641278,0.0002379428,0.9888341,0.0001908548,0.008027954],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1410135,"threshold_uncertainty_score":0.4896746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03787395064297792,"score_gpt":0.2645835546646672,"score_spread":0.2267096040216893,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}